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This article is cited in 1 scientific paper (total in 1 paper)
Rate of the almost sure convergence of a generalized regression estimate based on truncated and functional data
Halima Boudadaa, Sara Leulmia, Soumia Kharfouchb a University Freres Mentouri, Constantine 1, Algeria
b University Salah Boubnider,
Constantine 3, Algeria
Abstract:
In this paper, a nonparametric estimation of a generalized regression function is proposed. The real response random variable (r.v.) is subject to left-truncation by another r.v. while the covariate takes its values in an infinite dimensional space. Under standard assumptions, the pointwise and the uniform almost sure convergences, of the proposed estimator, are established.
Keywords:
functional data, truncated data, almost sure convergence, local linear estimator.
Received: 06.02.2020 Received in revised form: 25.04.2020 Accepted: 26.05.2020
Citation:
Halima Boudada, Sara Leulmi, Soumia Kharfouch, “Rate of the almost sure convergence of a generalized regression estimate based on truncated and functional data”, J. Sib. Fed. Univ. Math. Phys., 13:4 (2020), 480–491
Linking options:
https://www.mathnet.ru/eng/jsfu856 https://www.mathnet.ru/eng/jsfu/v13/i4/p480
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Abstract page: | 88 | Full-text PDF : | 25 | References: | 12 |
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